Triple

T11100289
Position Surface form Disambiguated ID Type / Status
Subject Automotive Grade Linux E262483 entity
Predicate shortName P43 FINISHED
Object AGL
AGL is an open-source automotive software platform and collaborative project under the Linux Foundation focused on building a unified in-vehicle infotainment and connected car system.
 E904630 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: AGL | Statement: [Automotive Grade Linux, shortName, AGL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AGL
Context triple: [Automotive Grade Linux, shortName, AGL]
  • A. AG
    AG is the two-letter ISO 3166-1 alpha-2 country code assigned to Antigua and Barbuda.
  • B. AG
    AG is the vehicle registration code used on license plates for cars registered in Argeș County, Romania.
  • C. AG
    AG is the common abbreviation for the Christian missions organization To the Nations.
  • D. AG
    AG is the standard abbreviation for the United States Attorney General, the chief law enforcement officer and head of the U.S. Department of Justice.
  • E. AG
    AG is an Indonesian vehicle registration code used for motor vehicles registered in certain regions of East Java, including Trenggalek.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: AGL
Triple: [Automotive Grade Linux, shortName, AGL]
Generated description
AGL is an open-source automotive software platform and collaborative project under the Linux Foundation focused on building a unified in-vehicle infotainment and connected car system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AGL
Target entity description: AGL is an open-source automotive software platform and collaborative project under the Linux Foundation focused on building a unified in-vehicle infotainment and connected car system.
  • A. AG
    AG is the two-letter ISO 3166-1 alpha-2 country code assigned to Antigua and Barbuda.
  • B. AG
    AG is the vehicle registration code used on license plates for cars registered in Argeș County, Romania.
  • C. AG
    AG is the common abbreviation for the Christian missions organization To the Nations.
  • D. AG
    AG is the standard abbreviation for the United States Attorney General, the chief law enforcement officer and head of the U.S. Department of Justice.
  • E. AG
    AG is an Indonesian vehicle registration code used for motor vehicles registered in certain regions of East Java, including Trenggalek.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6aa9a40d88190a373e2c7e48285db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79a29ee6c819092bc0da3f9255389 completed April 9, 2026, 12:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3e7f9b46881909761ed448fa5ce6e completed April 18, 2026, 8:22 p.m.
NEDg Description generation batch_69e3f2cc9b7c8190bb5fd89f239917cf completed April 18, 2026, 9:08 p.m.
NED2 Entity disambiguation (via description) batch_69e3f4a37b6c81908ca63270d82579ae completed April 18, 2026, 9:16 p.m.
Created at: April 8, 2026, 9:27 p.m.